Seeding the Cloud: The Future of Data Management
Dramatically improving the agility, flexibility, performance and efficiency of data centers ultimately leads to business success
By: Irfan Khan
Dec. 13, 2009 07:00 PM
Doing more with less is a familiar refrain for IT professionals, and today's challenging business environment has only increased the pressure on managers to achieve efficiencies, maximize performance and improve responsiveness of the data center. More and more frequently, IT is turning to virtualization to accomplish its mission-critical goals.
The hot new trend in cloud computing is a natural extension of this drive toward virtualization. In the case of the public cloud, IT can add processing power and infrastructure as needed, and in the case of the private cloud, IT can improve the utilization of existing infrastructure. In other words, cloud computing platforms offer IT the opportunity to increase efficiencies and become more agile, transforming the data center into an environment that delivers greater benefits to end-users.
This tremendous potential of cloud computing can be seen by examining how organizations currently manage, analyze and mobilize data. Cloud has given IT organizations the opportunity to fundamentally shift the way data is created, processed and shared.
In order to take advantage of cloud computing for data management, IT must familiarize itself with the latest issues and trends. This requires a greater understanding of each of the three prominent cloud models - private, public and hybrid - along with proper evaluation of the criteria around a cloud strategy.
Cloud Gazing: Three Prominent Models
For IT organizations operating a virtual data center environment, private or internal cloud may offer important advantages. An internal cloud is an effective way to boost productivity while providing users a certain level of self-sufficiency. Such a cloud deployment also mitigates the need to purchase new systems. Through virtualization and cloud infrastructure, users can self-provision a virtual machine on the cloud environment, which can easily be expanded or contracted as a given project reaches fruition. By first developing tools to handle life cycle management of virtual machines, a user can request a virtual machine using a menu to specify resource requirements (CPUs, memory, storage), operating system details, lease period and other miscellaneous configuration information.
An internal cloud can provide critical efficiencies by avoiding data center expansion, faster provisioning of server capacity, faster upgrades of memory, CPU and storage, improved reliability, and business continuity/disaster recovery improvements. Case in point, a major financial services provider recently turned their compute backbone into an internal cloud with a focus on providing a platform to host virtual desktops. The company found that it is easier to share infrastructure with the computational jobs which run after the local trading day ends so there is a nice segregation of "jobs" in the local data center. Additionally, this solution has proven to deliver faster ROI.
Intense interest in public or external cloud strategies is being fueled by the potential for improved efficiencies, flexible and dynamic environments, on-demand infrastructure and smaller maintenance requirements. External cloud services offer the potential for improved business agility, better scalability and versatility. An example of this can be found with one of the world's leading electronic stock exchanges, who turned to an external cloud provider in order to enable brokerage firms to show customers and regulators that best-execution requirements were met for a given trade. An application was written to upload data for every stock in files representing ten-minute increments of trading data based on data from the major exchanges. This allows an accurate reconstruction of the trade environment without having to build out an internal storage infrastructure strictly for emulation (or testing) purposes. A further benefit of this cloud deployment has been the flexibility of pay-as-you-go pricing.
In today's challenging economy, with IT increasingly finding itself strapped for resources, external cloud services are proving to be an effective means for lowering upfront costs and reducing the workload on overburdened IT staff.
Experts agree that the hybrid cloud environment, a mix of in-house and outsourced computing and networking resources, will be a leading choice for enterprises in the near term. The hybrid model offers the greatest flexibility when dealing with the dynamic data requirements of most businesses today.
Regardless of the model, cloud computing is proving to be highly attractive because of its dynamic infrastructure, ability to support any application and operating system, accessibility via Internet protocols, automatic scalability and the fact that no software or hardware installation is required on site. Additional benefits for end-users include the:
As a result, cloud computing is fast becoming an important tool in the IT arsenal.
Cloud Potential: Classes of Applications Deserving of Deployment
Some classes of applications in use today that might not appear to be obvious cloud candidates will in fact be deployed to the cloud in the near future. Increasingly, we are seeing more functions of data management and data analytics being moved to cloud environments with great success.
One such class of applications is database management systems. For organizations with large databases and high transaction volumes, cloud enables a measure of strategic agility that can meet today's enterprise needs. Sybase Adaptive Server Enterprise (ASE) is a prime example of a mission-critical data management system that allows IT to get a handle on exploding information demands. This application provides access and control over data, transforming information into a vital, accessible and decisive mission asset made all the more effective when utilized in cloud.
As organizations employ larger data warehouses for purposes ranging from standard reporting to strategic business analytics, complex event processing and deep-dive data mining, the need for performance will continue to outpace the capabilities of traditional relational databases. Cloud computing offers IT a powerful means for meeting the performance and scalability requirements of the enterprise data warehouse. With large-scale systems continuing to expand, alternate approaches to support standard reporting, analysis, and power-user ad hoc queries will become increasingly established as the platforms of choice for very large database systems.
As with other cloud environments, analytics in the cloud benefit end-users by offering a pay-as-you-go model and adaptable resource requirements that free up IT from the need to purchase additional hardware and going through the extensive procurement process.
In order to satisfy the rapidly expanding need for analytical performance, Sybase offers a solution well suited to exploit the benefits of cloud. Sybase IQ takes an alternate database approach, storing data oriented by columns instead of rows. This approach has proven superior in sustaining the performance and rapid growth requirements of analytical applications and, when combined with cloud computing, offers significant advantages. The column-oriented methodology provides a combination of architectural simplicity and the ability to configure data in a way that can reduce the physical amount of data that must be accessed. Reducing the storage footprint while optimizing column access will reduce data access latency and improve use of network bandwidth, thereby contributing to a scalable environment that continues to provide consistently high performance as data volumes, number of users and number of queries increase.
With a growing trend toward mobility in the workforce, IT faces increased demand for access to mobilized applications. Managing data and exchange technologies can place significant demands on IT, necessitating regular onsite maintenance of mobile devices. Cloud offers IT the scalability, flexibility, performance and responsiveness needed to deploy and manage mobile applications. For example, Sybase SQL Anywhere provides data management and data exchange technologies that enable the rapid development and deployment of database-powered applications. Design and management tools within SQL Anywhere enable IT to implement and deploy mobile applications, while also easily providing support.
For one major telecommunications provider, cloud computing is key in offering Web-interfaced applications hosted and deployed in a managed service (SaaS) model. This company leverages Sybase's Afaria solution, which provides comprehensive management and security capabilities to ensure that mobile data and devices are up-to-date, reliable and secure. The provisioning and scalability advantages of cloud make it possible for the company to offer an integrated suite of managed mobility applications for their customers that can be contracted individually or in combination. Afaria enables the company to offer its hosted applications, and assist customers in managing the deployment, expenses and ongoing support to a global mobile workforce without technical complexity and security risks.
Cloud computing can enable IT to more effectively handle the wide ranging database requirements of mobile workers, while minimizing the impact on end-users, thus allowing them to focus on the work at hand rather than getting bogged down with the technology.
In the case of multi-tenant applications, IT must consider the separation of data from a security, privacy, and compliance perspective. Data that is bound by strict privacy regulations, such as medical information covered by the Health Insurance Portability and Accountability Act (HIPAA), will require that tenants log in, after which they are then routed directly to their own secure database server. In this way, data remains separate and secure, and in compliance with government privacy mandates.
Another factor IT must consider is the implication of application performance on end users. If one tenant is running a large, complex report, overall performance on the database server can be slowed. IT must gauge the sensitivity of other users to such performance issues and factor this into decisions regarding external cloud providers as well as internal cloud initiatives
In terms of choosing cloud schema, IT can establish a single database on the server with separate schemas, allowing one tenant to employ a set of tables within the database while another tenant is able to utilize a different set of tables within that same database. In this scenario, the cost of provisioning is lower, but there is a trade-off in performance and data isolation. A second option is to employ shared schema where all tenants' data is contained in the same table. Each tenant has a column in the table, making this option more cost effective to provision, however application development becomes more complex.
Operational Considerations of Cloud
A further consideration IT should take into account as cloud computing gains wider acceptance is the ability for users to access the data center from both desktop and mobile environments. When considering mobile access, IT must evaluate technical considerations, such as how users will traverse an organization's firewall. Existing security requirements around data, and the ability to synchronize that data to mobile devices when appropriate, clearly add to the complexity of cloud deployment. Areas such as these should be top of mind for IT as they move forward.
The Sky Is the Limit With Cloud
The tremendous potential of cloud computing is fundamentally shifting the way data is created, processed and shared. Currently, the most prominent cloud models, private, public and hybrid, are transforming the data center into an environment that delivers significant benefits to end-users, in how they access and manage data.
As new strategies evolve and more classes of applications become viable in the cloud, IT has the opportunity to dramatically improve the agility, flexibility, performance and efficiency of data centers which, in turn, will ultimately lead to bottom-line organizational success.
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